Cover Image

Model-based Preference Optimization in Abstractive Summarization without Human Feedback

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Choi, Jaepill, Chae, Kyubyung, Song, Jiwoo, Jo, Yohan, Kim, Taesup
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information
by: Chae, Kyubyung, et al.
Published: (2024)

From Threat to Tool: Leveraging Refusal-Aware Injection Attacks for Safety Alignment
by: Chae, Kyubyung, et al.
Published: (2025)

What If TSF: A Benchmark for Reframing Forecasting as Scenario-Guided Multimodal Forecasting
by: Jang, Jinkwan, et al.
Published: (2026)

ORPO: Monolithic Preference Optimization without Reference Model
by: Hong, Jiwoo, et al.
Published: (2024)

What Models Know, How Well They Know It: Knowledge-Weighted Fine-Tuning for Learning When to Say "I Don't Know"
by: Lee, Joosung, et al.
Published: (2026)

Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models
by: Song, Jongyoon, et al.
Published: (2024)

Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization
by: Chrysostomou, George, et al.
Published: (2023)

Context-Robust Knowledge Editing for Language Models
by: Park, Haewon, et al.
Published: (2025)

MovieSum: An Abstractive Summarization Dataset for Movie Screenplays
by: Saxena, Rohit, et al.
Published: (2024)

Analysis of Multidomain Abstractive Summarization Using Salience Allocation
by: Rehman, Tohida, et al.
Published: (2024)

QUARTZ : QA-based Unsupervised Abstractive Refinement for Task-oriented Dialogue Summarization
by: Ghebriout, Mohamed Imed Eddine, et al.
Published: (2025)

Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection
by: He, Jianfeng, et al.
Published: (2024)

Narrative Landscape: Mapping Narrative Dispositions Across LLMs
by: Jung, Donghoon, et al.
Published: (2026)

Survey of Pseudonymization, Abstractive Summarization & Spell Checker for Hindi and Marathi
by: Ransing, Rasika, et al.
Published: (2024)

Abstractive Text Summarization for Contemporary Sanskrit Prose: Issues and Challenges
by: Sinha, Shagun
Published: (2025)

Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization
by: Xu, Lei, et al.
Published: (2024)

Human Psychometric Questionnaires Mischaracterize LLM Behavior
by: Song, Woojung, et al.
Published: (2025)

Abstractive Summarization of Low resourced Nepali language using Multilingual Transformers
by: Dhakal, Prakash, et al.
Published: (2024)

HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew
by: Paz-Argaman, Tzuf, et al.
Published: (2024)

CADS: A Systematic Literature Review on the Challenges of Abstractive Dialogue Summarization
by: Kirstein, Frederic, et al.
Published: (2024)

Reliability Gated Multi-Teacher Distillation for Low Resource Abstractive Summarization
by: Sumit, Dipto, et al.
Published: (2026)

Abstractive Text Summarization: State of the Art, Challenges, and Improvements
by: Shakil, Hassan, et al.
Published: (2024)

Progressive Code Integration for Abstractive Bug Report Summarization
by: Karim, Shaira Sadia, et al.
Published: (2025)

SGPO: Self-Generated Preference Optimization based on Self-Improver
by: Lee, Hyeonji, et al.
Published: (2025)

Revisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position Bias
by: Chhabra, Anshuman, et al.
Published: (2024)

Enhancing Abstractive Summarization of Scientific Papers Using Structure Information
by: Bao, Tong, et al.
Published: (2025)

Incorporating Distributions of Discourse Structure for Long Document Abstractive Summarization
by: Liu, Dongqi, et al.
Published: (2023)

Noise-Robust Abstractive Compression in Retrieval-Augmented Language Models
by: Kim, Singon
Published: (2025)

In-N-Out: A Parameter-Level API Graph Dataset for Tool Agents
by: Lee, Seungkyu, et al.
Published: (2025)

Systematic Exploration of Dialogue Summarization Approaches for Reproducibility, Comparative Assessment, and Methodological Innovations for Advancing Natural Language Processing in Abstractive Summarization
by: Gogireddy, Yugandhar Reddy, et al.
Published: (2024)

Tell me what I need to know: Exploring LLM-based (Personalized) Abstractive Multi-Source Meeting Summarization
by: Kirstein, Frederic, et al.
Published: (2024)

MultiBanAbs: A Comprehensive Multi-Domain Bangla Abstractive Text Summarization Dataset
by: Ferdous, Md. Tanzim, et al.
Published: (2025)

Hallucination Detection-Guided Preference Optimization for Clinical Summarization
by: Seethakantha, Shamanth Kuthpadi, et al.
Published: (2026)

Improving Faithfulness of Abstractive Summarization by Controlling Confounding Effect of Irrelevant Sentences
by: Ghoshal, Asish, et al.
Published: (2022)

KL for a KL: On-Policy Distillation with Control Variate Baseline
by: Oh, Minjae, et al.
Published: (2026)

InforME: Improving Informativeness of Abstractive Text Summarization With Informative Attention Guided by Named Entity Salience
by: Shen, Jianbin, et al.
Published: (2025)

Improving Factual Consistency of News Summarization by Contrastive Preference Optimization
by: Feng, Huawen, et al.
Published: (2023)

uMedSum: A Unified Framework for Advancing Medical Abstractive Summarization
by: Nagar, Aishik, et al.
Published: (2024)

Where Should Diffusion Enter a Language Model? Geometry-Guided Hidden-State Replacement
by: Kong, Injin, et al.
Published: (2026)

Learning to Summarize from LLM-generated Feedback
by: Song, Hwanjun, et al.
Published: (2024)